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**Is your feature request related to a problem? Please describe.**
The primary challenge is accurately forecasting the stock prices of Google, Microsoft, and Apple using historical data. Key issues i…
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I am entering the subject as a non mathematician and non data scientist. I'm a potential user of your code who is looking to solve actual down to earth practical problems. While your code apparently b…
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Hello Professor!
I have a question about this subsection: compare the performance against the naive LSTM approach. Is there any specific architecture that I need to compare my target solution with?…
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See discussion from reddit:
https://www.reddit.com/r/finance/comments/n8m8rf/i_created_a_tool_that_automates_90_of_the/
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**System Information:**
- Model Builder Version 17.16.0.2326802
- Visual Studio Version VS community 2022 17.6.1
**Describe the bug**
- On which step of the process did you run into an issue…
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### Requirement to be fulfilled:
A page on architecture detailing:
- A description of the functionality completed in total by the team as of the end of the sprint.
- A description-user guide--o…
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I've got an error trying to run your code,
Uncaught (in promise) Error: Error when checking target: expected dense_Dense1 to have shape [,57,10], but got array with shape [1,1960,1].
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# User Story
As a machine learning developer, I want to use machine learning or deep learning to predict the direction of any crypto-asset (i.e. btc_usdt), so that I can develop ML-based indicators…
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How to pre-train the lag-llama model with multivariate time series data?
For example:
num_time_steps = 300
data = [
{
"start": pd.Timestamp("2020-01-01", freq="D"),
"targ…
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Dear Kaushik,
Today I tried to find stock forecasting opensource projects in python came across many but due to some or other issue many programs are not able to run(deprecated), during the course…